Probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes

Motorcycle fatalities have more than doubled in the United States since 1997--highlighting the need to better understand the many interrelated factors that determine motorcyclists' crash-injury severities. In this paper, using a detailed crash database from the state of Indiana, we estimate probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes. Nested logit (estimated with full information maximum likelihood) and standard multinomial logit model results show a wide-range of factors significantly influence injury-severity probabilities. Key findings show that increasing motorcyclist age is associated with more severe injuries and that collision type, roadway characteristics, alcohol consumption, helmet use, unsafe speed and other variables play significant roles in crash-injury outcomes.

• Record URL:
  http://www.sciencedirect.com/science/article/B6V5S-4N4S66C-1/2/85bbdc8607dc1c8265588645bbfb5af2
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Savolainen, Peter Tarmo
  • Mannering, Fred
• Publication Date: 2007-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 955-963
• Serial:
  • Accident Analysis & Prevention
  • Volume: 39
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Crash injuries; Highway factors in crashes; Human factors in crashes; Injury severity; Logits; Maximum likelihood method; Motorcycle crashes; Motorcyclists; Multiple vehicle crashes; Probability; Single vehicle crashes
• Geographic Terms: Indiana
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01080651
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Nov 15 2007 10:32AM